The core (required) courses in the Management Sciences graduate programs and the Management Engineering undergraduate program include all three main specializations, but for the purpose of individual student research, interest, background or future goals the elective requirements allow students to focus on the area they find the most interesting. The three are not mutually exclusive and many students combine the fields to suit their specific interests.
Applied Operations Research
Applied Operations Research at the Department of Management Sciences provides quantitative tools to model complex decision making problems in manufacturing and service industries in modern global economy. Our faculty are experts in Optimization, Stochastic Processes, Markov Decision Processes, Data Analytics, and Decisions Analysis with focus areas in Health Care, Supply Chain Management & Logistics, Revenue Management & Pricing, Energy, and Manufacturing.
Information Systems Research
The objective of Information Systems (IS) is to prepare future leaders in the design, application, and management of computer-based information systems. Students master both traditional concepts and recent advances in techniques, theories, and applications of information systems. Students interested in the organizational aspects of IS can blend their coursework with classes in the applied operations research and management of technology fields. Students can learn about IS design by studying the interaction between humans and computers (HCI), data analytics, information retrieval, and text analytics. IS students can complement their studies with additional technical courses offered by computer science. The skills learned prepare the IS graduate for employment in large or small technology companies, in government or other organizations. Typical positions include those of systems analyst, data scientist, information systems manager, and data architect. Doctoral students are prepared for academic or research positions.
Management of Technology
Faculty in the Management of Technology stream of the Department of Management Sciences concentrate on organizational behaviour and decision-making in all areas of business planning, especially in regard to the organizational and socioeconomic management of technology. Our faculty members are experts in behavioural and experimental economics, decision-making under risk and uncertainty, risk management, cognition and communication in organizations, sociotechnical systems, organizational effectiveness and strategy, network theory, innovation and intellectual property, entrepreneurship, and technology adoption.
Areas of Application
Data Science and Analytics: We help support sound decisions using data found in various forms and sources. In doing so, we standardize data and apply statistical and optimization methods to provide insights derived from the available data. Using prescriptive analytics, we optimize actions against a complex set of objectives to find best practices and policies under all circumstances. We consider new big data applications such as data analytics for a sustainable future. Recent projects in this area include: developing policies to price good using real-time data, developing dynamic patient scheduling policies, and determining job-shop production scheduling policies. Our faculty have worked with Cancer Care Ontario (CCO) and Dematic Ltd, among others.
Health Care Operations Management: We aim to improve access to care and to best manage wait lists, optimize health care delivery including patient scheduling, resource allocation, and inventory management, and enhance medical decision making in areas such as cancer screening, infectious disease management, and radiation therapy treatment plans. Our faculty have worked with Ontario Ministry of Health and Long-Term Care, Cancer Care Ontario (CCO), Canada Blood Services, Hamilton Health Sciences, Mayo Clinic, Grand River & St Paul Hospitals among others.
Supply Chain Management and Logistics: Our research in this area comprises the development and application of tools and techniques to aid in the management of integrated manufacturing and logistics systems. We create new knowledge on the design, implementation, operation, and control of these systems, not overlooking the important interfaces with purchasing, transportation, product and process design, inventory management, environment and human resources. Our faculty have worked with Bombardier, Canadian Tire, Nestle, UPS, Navtech Inc., Dematic Ltd among others.
Search Engines and Natural Language Processing: Our research in this area focuses on the design, analysis, and evaluation of search engines and natural language processing applications. Our research ranges from sentiment analysis to simulating human behavior with search engines to better predict search effectiveness. Much of our work has an element of human computer interaction (HCI) involved, and we often conduct user studies to better understand how people search and interact with search engines. Often our research involves the application of machine learning for text classification and other purposes. Additional examples of research topics are: information extraction, identification of semantic relations between entities in text, opinion retrieval, and crowd sourcing relevance assessments.
Human-Computer Interaction (HCI): We tackle various topics within HCI, including the design and evaluation of novel collaborative systems and games, end-user programming, and interaction techniques for tabletop displays, large-screen displays, smart phones, multi-touch interaction, 3D interaction, and direct vs. indirect pen-input. We draw upon a variety of methods—from designing interactive systems and techniques to using qualitative and quantitative methods to investigate user needs and usability, assess tool adoption, and understand software design processes.
Organization and Human Behaviour: Our research in this area includes the application of experimental, survey, and field study methodologies to understand problem solving and decision-making at various levels, including the individual, group, and the organization as a whole. Other areas of work include organizational design, organizational learning and adaptation, and the social/organizational effects of technology.
Management of Innovation: Our research in this area comprises the study of management strategy of innovation such as the generation of new innovation through various R&D programs, the utilization of innovation through various types of intellectual property rights, and the assessment of the quality and economic returns of innovation. We also research organizational and managerial coordination and collaboration in product development and dissemination under different market structures.Resear